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Record W5129635 · doi:10.1136/bmj.4.5789.749-d

La gestión de los fondos de inversión de renta variable: Un análisis del maquillaje de carteras. Artículo núm. 144

2002· article· es· W5129635 on OpenAlexaboutno aff
Esteban Fernández González, Begoña Torre Olmo

Bibliographic record

VenueCuadernos de Economía y Dirección de la Empresa · 2002
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicFinancial Reporting and Valuation Research
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesQuarter (Canadian coin)GeographyWelfare economicsEconomicsArt

Abstract

fetched live from OpenAlex

espanolEl objetivo del presente trabajo es analizar si en el mercado espanol de fondos de inversion se verifican algunas de las anomalias e ineficiencias que se producen con regularidad en la mayoria de los mercados internacionales. Asimismo, se trata de comprobar si el mejor conocimiento del mercado que poseen los gestores, y sobre todo, la existencia de la informacion asimetrica son respecto al participe, son cuestiones aprovechadas por los directivos para obtener rendimientos extraordinarios en momentos puntuales del ano, como son los cambios de trimestre, a traves del maquillaje de carteras. El estudio se realiza para el periodo que abarca desde abril de 1991 a diciembre de 1998 para el colectivo de fondos de inversion de renta variable y renta variable mixta EnglishThe aim of this work is a analyse the existence of anomalies and inefficiencies in the Mutual Funds Spanish Market and verify the presence of window dressing at the end of the quarter, just before the publication of the periodic information about the managers and investors. The sample is made up of the risk portfolios that operate in the spanish market of mutual funds, in the period 1991-1998

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.423
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.278
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2002
Admission routes1
Has abstractyes

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